CIO Business Intelligence

JULY 3, 2023

But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality. These models can extract meaning from digital data at scale and speed beyond the capabilities of human analysts. Data exists in ever larger silos, but real knowledge still resides in employees.

Management 105

Management Experimentation Modeling Enterprise 105

CIO Business Intelligence

MAY 12, 2022

But there are deeper challenges because predictive analytics software can’t magically anticipate moments when the world shifts gears and the future bears little relationship to the past. Most tools offer visual programming interfaces that enable users to drag and drop various icons optimized for data analysis. Open source core.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

MARCH 7, 2023

OpenAI’s text-generating ChatGPT, along with its image generation cousin DALL-E, are the most prominent among a series of large language models, also known as generative language models or generative AI, that have captured the public’s imagination over the last year. And, he says, using generative AI for coding has worked well.

Enterprise 116

Enterprise IT Experimentation Unstructured Data 116

CIO Business Intelligence

FEBRUARY 7, 2024

Stephen Franchetti, CIO of Samsara, a fleet management SaaS provider that went public in 2021, believes the only way to optimize your AI strategy (or any emerging technology strategy, in fact) is with a bottoms-up approach. We’ve seen an ongoing iteration of experimentation with a number of promising pilots in production,” he says.

KPI 105

KPI Measurement Experimentation Finance 105

Smart Data Collective

OCTOBER 13, 2022

These patterns could then be used as the basis for additional experimentation by scientists or engineers. It’s applicable in software design, architecture, and medicine , among other industries. . Assembly Line Optimization. Also, obtaining large amounts of data sufficient to train an AI model can be challenging.

Testing 112

Testing Cost-Benefit Experimentation Optimization 112

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 104

Digital Transformation Cost-Benefit Informatics Data mining 104

CIO Business Intelligence

NOVEMBER 2, 2023

Awareness of FinOps practices and the maturity of software that can automate cloud optimization activities have helped enterprises get a better understanding of key cost drivers,” McCarthy says, referring to the practice of blending finance and cloud operations to optimize cloud spend. growth experienced in 2022.

Strategy 140

Strategy Data Processing Experimentation Optimization 140

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models.

Metadata 75

Metadata Risk Experimentation Dashboards 75

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Multiple unsupported tools for building and deploying models. Platforms and practices not optimized for AI. This includes capturing of the metadata, tracking provenance and documenting the model lifecycle.

Metadata 100

Metadata Risk Risk Management Experimentation 100

CIO Business Intelligence

MARCH 10, 2022

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 130

Sales Testing Experimentation Data Processing 130

CIO Business Intelligence

DECEMBER 29, 2023

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. And Wayson Vannatta, CIO at Nintex, a provider of process management and automation software, will do exactly that. These priorities must fundamentally tie back to the business’ priorities and goals,” she says. “You

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants. Data and AI as digital fundamentals.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 93

Cost-Benefit Modeling Manufacturing Interactive 93

CIO Business Intelligence

OCTOBER 18, 2023

Of roughly 2,500 CIOs surveyed recently by Gartner, 9% say they have already deployed gen AI applications, and a staggering 55% say they will deploy large language models (LLMs) in production by the end of 2025. in concert with Microsoft’s AI-optimized Azure platform. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

Risk 141

Risk Manufacturing Enterprise Technology 141

CIO Business Intelligence

FEBRUARY 14, 2024

That’s not just about the cost of preparing a larger data set than you need, which takes expertise that’s still uncommon and commands a high salary, but also what you’re teaching the model. At the beginning of 2023, Gartner reported only 15% of organizations already have data storage management solutions that classify and optimize data.

IT 143

IT Metadata Data-driven Management 143

IBM Big Data Hub

DECEMBER 14, 2023

Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). Platform engineering, internal development platform – Platform engineering is at the forefront of modern software development, driving innovation and collaboration across teams.

Experimentation 69

Experimentation Testing Software Management 69

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. One instance of how that exploration led to real business benefits was with the application of machine learning to predict optimal product formulation using a set of desired consumer benefits. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

CIO Business Intelligence

MARCH 21, 2022

A data scientist’s main objective is to organize and analyze data, often using software specifically designed for the task. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

CIO Business Intelligence

JUNE 27, 2022

I had a chance to ask Cramer some questions about continuous shipment, software development, building a startup, and more. Cramer: I’ve always been a builder, and software was a really natural fit for me. Would you talk a bit about the performance product and tracing software performance? How did that happen?

Software 115

Software Experimentation Testing Marketing 115

Domino Data Lab

JANUARY 24, 2019

Not only has this confused data scientists, it’s also affected us as a software vendor: some analyses of the market lump Domino together with products completely different from ours, forcing us to answer questions about how we compare to products that address fundamentally different needs and use cases. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

FineReport

DECEMBER 11, 2019

The big news is that we no longer need to be proficient in math or statistics, or even rely on expensive modeling software to analyze customers. Follow FineReport Reporting Software on Facebook to know more about data visualization! By Michael Milton. – Data Divination: Big Data Strategies.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

O'Reilly on Data

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

IT 346

IT Testing Experimentation Software 346

Ontotext

NOVEMBER 6, 2019

It will simplify the integration of powerful software to enhance the core database engine. GraphDB Workbench is the interface for Ontotext’s semantic graph database, which provides the core infrastructure including modelling agility, data integration, relationship exploration and cross-enterprise semantic data publishing and consumption.

Experimentation 45

Experimentation Deep Learning Software Modeling 45

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

CIO Business Intelligence

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively. Pilots can offer value beyond just experimentation, of course.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. What Software Are We Talking About? The GPT-series LLMs are also called “foundation models.”

IT 262

IT Modeling Testing Risk 262

Occam's Razor

AUGUST 12, 2013

than multi-channel attribution modeling. We have fought valiant battles, paid expensive consultants, purchased a crazy amount of software, and achieved an implementation high that is quickly, followed by a " gosh darn it where is my return on investment from all this? Multi-Channel Attribution Models. Grab a Red Bull.

Modeling 161

Modeling Optimization Marketing Interactive 161

IBM Big Data Hub

MAY 20, 2024

Unlocking new potential A set of core enterprise applications has crystallized from an environment of rapidly maturing quantum hardware and software. Search and optimization. To that end, we convened five working groups covering healthcare/life sciences, materials science, high-energy physics, optimization and sustainability.

Data Processing 101

Data Processing Optimization Experimentation Enterprise 101

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. ICEDQ — Software used to automate the testing of ETL/Data Warehouse and Data Migration. Observe, optimize, and scale enterprise data pipelines. . Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. IT leaders are exploring how different gen AI tools transform the software development lifecycle.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

CIO Business Intelligence

MARCH 7, 2023

Agile for hybrid teams optimizing low-code experiences The agile manifesto is now 22 years old and was written when IT departments struggled with waterfall project plans that often failed to complete, let alone deliver business outcomes. CIOs should consider technologies that promote their hybrid working models to replace in-person meetings.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

Cloudera

APRIL 13, 2021

Unfortunately, most organizations run into trouble when it comes to bridging the gap that exists between experimentation and full-scale ML production. Proper science takes experimentation and observation, as well as a willingness to accept the failures alongside the successes. Optimize later. Step 4: Iterate quickly.

Machine Learning 97

Machine Learning Enterprise Experimentation Modeling 97

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 76

Machine Learning Manufacturing Cost-Benefit Deep Learning 76

Cloudera

APRIL 26, 2023

With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. These include data recovery service, quota management, node harvesting, optimizing TCO, and more. Reduced cost by optimizing compute utilization to run more analytics with the same hardware allocation.

Cost-Benefit 63

Cost-Benefit Optimization Experimentation Machine Learning 63

O'Reilly on Data

JULY 25, 2023

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming.

Consulting 246

Consulting Interactive Software IT 246

Domino Data Lab

MARCH 20, 2019

Our mission at Domino is to enable organizations to put models at the heart of their business. Today we’re announcing two major new capabilities in Domino that make model development easier and faster for data scientists. This pain point is magnified in organizations with teams of data scientists working on numerous experiments.

Management 97

Management Experimentation Data Science Modeling 97

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. You’re changing things fundamentally in how you build and ship software.

Management 110

Management Machine Learning Experimentation Metrics 110